WO2013173003A3 - Architecture d'analyseur de comportement en nuage-client - Google Patents

Architecture d'analyseur de comportement en nuage-client Download PDF

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Publication number
WO2013173003A3
WO2013173003A3 PCT/US2013/035963 US2013035963W WO2013173003A3 WO 2013173003 A3 WO2013173003 A3 WO 2013173003A3 US 2013035963 W US2013035963 W US 2013035963W WO 2013173003 A3 WO2013173003 A3 WO 2013173003A3
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WO
WIPO (PCT)
Prior art keywords
mobile device
family
behavior
models
classifier
Prior art date
Application number
PCT/US2013/035963
Other languages
English (en)
Other versions
WO2013173003A2 (fr
Inventor
Rajarshi Gupta
Xuetao WEI
Anil GATHALA
Vinay Sridhara
Original Assignee
Qualcomm Incorporated
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qualcomm Incorporated filed Critical Qualcomm Incorporated
Priority to IN2173MUN2014 priority Critical patent/IN2014MN02173A/en
Priority to JP2015512657A priority patent/JP6235000B2/ja
Priority to CN201380024831.6A priority patent/CN104541293B/zh
Priority to EP13718702.7A priority patent/EP2850563A2/fr
Publication of WO2013173003A2 publication Critical patent/WO2013173003A2/fr
Publication of WO2013173003A3 publication Critical patent/WO2013173003A3/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G06F21/552—Detecting local intrusion or implementing counter-measures involving long-term monitoring or reporting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
    • G06F21/566—Dynamic detection, i.e. detection performed at run-time, e.g. emulation, suspicious activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G06N5/043—Distributed expert systems; Blackboards
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/12—Detection or prevention of fraud
    • H04W12/128—Anti-malware arrangements, e.g. protection against SMS fraud or mobile malware
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/30—Security of mobile devices; Security of mobile applications
    • H04W12/37—Managing security policies for mobile devices or for controlling mobile applications

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  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Virology (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Telephonic Communication Services (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Debugging And Monitoring (AREA)
  • Telephone Function (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

L'invention concerne des procédés, systèmes et dispositifs pour générer des modèles de données dans un système de communication en nuage-client, qui peuvent comprendre l'application de techniques d'apprentissage par machine pour générer une première famille de modèles de classification qui décrivent un corpus en nuage de vecteurs de comportement. Ces vecteurs peuvent être analysées pour identifier des facteurs dans la première famille de modèles de classification, qui présentent la capacité la plus probable de permettre à un dispositif mobile de déterminer de manière concluante si le comportement d'un dispositif mobile est malveillant ou anodin. En fonction de cette analyse, une deuxième famille de modèles de classification qui identifient un nombre sensiblement plus faible de facteurs et de points de données comme étant pertinents pour activer le dispositif mobile, peut être générée pour déterminer de manière concluante si le comportement du dispositif mobile est malveillant ou anodin en fonction des facteurs déterminés. Un module de classification de dispositif mobile basé sur la deuxième famille de modèles de classification peut être généré et mis à disposition pour être téléchargé par des téléphones, dont des dispositifs contribuant aux vecteurs de comportement.
PCT/US2013/035963 2012-05-14 2013-04-10 Architecture d'analyseur de comportement en nuage-client WO2013173003A2 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
IN2173MUN2014 IN2014MN02173A (fr) 2012-05-14 2013-04-10
JP2015512657A JP6235000B2 (ja) 2012-05-14 2013-04-10 クライアントクラウド挙動アナライザのためのアーキテクチャ
CN201380024831.6A CN104541293B (zh) 2012-05-14 2013-04-10 用于客户端‑云行为分析器的架构
EP13718702.7A EP2850563A2 (fr) 2012-05-14 2013-04-10 Architecture d'analyseur de comportement en nuage-client

Applications Claiming Priority (8)

Application Number Priority Date Filing Date Title
US201261646590P 2012-05-14 2012-05-14
US61/646,590 2012-05-14
US201261683274P 2012-08-15 2012-08-15
US61/683,274 2012-08-15
US201361748220P 2013-01-02 2013-01-02
US61/748,220 2013-01-02
US13/776,414 US20130304677A1 (en) 2012-05-14 2013-02-25 Architecture for Client-Cloud Behavior Analyzer
US13/776,414 2013-02-25

Publications (2)

Publication Number Publication Date
WO2013173003A2 WO2013173003A2 (fr) 2013-11-21
WO2013173003A3 true WO2013173003A3 (fr) 2014-05-22

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2013/035963 WO2013173003A2 (fr) 2012-05-14 2013-04-10 Architecture d'analyseur de comportement en nuage-client

Country Status (6)

Country Link
US (1) US20130304677A1 (fr)
EP (2) EP3142048A1 (fr)
JP (1) JP6235000B2 (fr)
CN (1) CN104541293B (fr)
IN (1) IN2014MN02173A (fr)
WO (1) WO2013173003A2 (fr)

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Also Published As

Publication number Publication date
JP6235000B2 (ja) 2017-11-22
EP2850563A2 (fr) 2015-03-25
US20130304677A1 (en) 2013-11-14
JP2015525382A (ja) 2015-09-03
CN104541293B (zh) 2018-02-06
WO2013173003A2 (fr) 2013-11-21
IN2014MN02173A (fr) 2015-08-28
CN104541293A (zh) 2015-04-22
EP3142048A1 (fr) 2017-03-15

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